Arnoldo Frigessi

Bilde av Arnoldo Frigessi
English version of this page
Telefon +47 22851004
Mobiltelefon +47-95735574
Rom 2238
Besøksadresse Sognsvannsveien 9 Domus Medica 0372 Oslo
Postadresse Postboks 1122 Blindern 0317 Oslo
Emneord: Complex stochastic dependence, Statistical inference, Computational intensive statistics, Kreft, Biostatistikk, Stokastiske modeller, Livsvitenskap, Genetikk og epidemiologi


  • Azulay, Naomi; Bjørkholt Olsen, Roy; Nielsen, Christopher Sivert; Stubhaug, Audun; Jenssen, Trond Geir & Schirmer, Henrik [Vis alle 9 forfattere av denne artikkelen] (2022). Reduced heart rate variability is related to the number of metabolic syndrome components and manifest diabetes in the sixth Tromsø study 2007–2008. Scientific Reports. ISSN 2045-2322. 12(1). doi: 10.1038/s41598-022-15824-0.
  • Page, Christian Magnus; Nøst, Therese Haugdahl; Djordjilović, Vera; Thoresen, Magne; Frigessi, Arnoldo & Sandanger, Torkjel M [Vis alle 7 forfattere av denne artikkelen] (2022). Pre-diagnostic DNA methylation in blood leucocytes in cutaneous melanoma; a nested case–control study within the Norwegian Women and Cancer cohort. Scientific Reports. ISSN 2045-2322. 12(1). doi: 10.1038/s41598-022-18585-y.
  • Storvik, Geir Olve; Palomares, Alfonso Diz-Louis; Engebretsen, Solveig; Rø, Gunnar Øyvind Isaksson; Engø-Monsen, Kenth & Kristoffersen, AB [Vis alle 8 forfattere av denne artikkelen] (2022). A sequential Monte Carlo approach to estimate a time varying reproduction number in infectious disease models: the Covid-19 case. Journal of the Royal Statistical Society: Series A (Statistics in Society). ISSN 0964-1998.
  • Eide, Simen; Leslie, David S. & Frigessi, Arnoldo (2022). Dynamic slate recommendation with gated recurrent units and Thompson sampling. Data mining and knowledge discovery. ISSN 1384-5810. doi: 10.1007/s10618-022-00849-w.
  • Eide, Simen; Leslie, David; Frigessi, Arnoldo; Rishaug, Joakim; Jenssen, Helge & Verrewaere, Sofie (2021). FINN. no Slates Dataset: A new Sequential Dataset Logging Interactions, all Viewed Items and Click Responses/No-Click for Recommender Systems Research. I Corona, Humberto; Larson, Martha & Willemsen, Martijn C. (Red.), RecSys '21 : Fifteenth ACM Conference on Recommender Systems. Association for Computing Machinery (ACM). ISSN 9781450384582. doi: 10.1145/3460231.3474607.
  • Divino, Fabio; Belay, Denekew Bitew; Keilman, Nico & Frigessi, Arnoldo (2021). Spatial modelling of Lexis mortality data. Spatial Statistics. ISSN 2211-6753. 44. doi: 10.1016/j.spasta.2021.100532.
  • Lindstrøm, Jonas Christoffer; Engebretsen, Solveig; Kristoffersen, Anja Bråthen; Rø, Gunnar Øyvind Isaksson; Diz-Lois Palomares, Alfonso & Engø-Monsen, Kenth [Vis alle 14 forfattere av denne artikkelen] (2021). Increased transmissibility of the alpha SARS-CoV-2 variant: evidence from contact tracing data in Oslo, January to February 2021. Infectious Diseases. ISSN 2374-4235. 54(1), s. 72–77. doi: 10.1080/23744235.2021.1977382. Fulltekst i vitenarkiv
  • Lai, Xiaoran; Taskén, Håkon Austlid; Mo, Torgeir; Funke, Simon Wolfgang; Frigessi, Arnoldo & Rognes, Marie Elisabeth [Vis alle 7 forfattere av denne artikkelen] (2021). A scalable solver for a stochastic, hybrid cellular automaton model of personalized breast cancer therapy. International Journal for Numerical Methods in Biomedical Engineering. ISSN 2040-7939. 38(1). doi: 10.1002/cnm.3542. Fulltekst i vitenarkiv
  • Engebretsen, Solveig; Engø-Monsen, Kenth; Aleem, Mohammad Abdul; Gurley, Emily Suzanne; Frigessi Di Rattalma, Arnoldo & de Blasio, Birgitte Freiesleben (2020). Time-aggregated mobile phone mobility data are sufficient for modelling influenza spread: the case of Bangladesh. Journal of the Royal Society Interface. ISSN 1742-5689. 17(167). doi: 10.1098/rsif.2019.0809. Fulltekst i vitenarkiv
  • Pladsen, Arne Valebjørg; Nilsen, Gro; Rueda, Oscar M.; Aure, Miriam Ragle; Borgan, Ørnulf & Liestøl, Knut [Vis alle 18 forfattere av denne artikkelen] (2020). DNA copy number motifs are strong and independent predictors of survival in breast cancer. Communications Biology. ISSN 2399-3642. 3. doi: 10.1038/s42003-020-0884-6. Fulltekst i vitenarkiv
  • Bergholtz, Helga; Lien, Tonje Gulbrandsen; Swanson, David; Frigessi Di Rattalma, Arnoldo; Daidone, Maria Grazia & Tost, Jörg [Vis alle 8 forfattere av denne artikkelen] (2020). Contrasting DCIS and invasive breast cancer by subtype suggests basal-like DCIS as distinct lesions. NPJ breast cancer. ISSN 2374-4677. 6. doi: 10.1038/s41523-020-0167-x. Fulltekst i vitenarkiv
  • Page, Christian; Djordjilovic, Vera; Nøst, Therese Haugdahl; Ghiasvand, Reza; Sandanger, Torkjel M & Frigessi Di Rattalma, Arnoldo [Vis alle 8 forfattere av denne artikkelen] (2020). Lifetime ultraviolet radiation exposure and DNA methylation in blood leukocytes: The Norwegian Women and Cancer Study. Scientific Reports. ISSN 2045-2322. 10, s. 1–8. doi: 10.1038/s41598-020-61430-3. Fulltekst i vitenarkiv
  • Tekpli, Xavier; Lien, Tonje Gulbrandsen; Røssevold, Andreas Hagen; Nebdal, Daniel J.H.; Borgen, Elin & Ohnstad, Hege Oma [Vis alle 19 forfattere av denne artikkelen] (2019). An independent poor-prognosis subtype of breast cancer defined by a distinct tumor immune microenvironment. Nature Communications. ISSN 2041-1723. 10:5499, s. 1–14. doi: 10.1038/s41467-019-13329-5. Fulltekst i vitenarkiv
  • Swanson, David; Lien, Tonje Gulbrandsen; Bergholtz, Helga; Sørlie, Therese & Frigessi Di Rattalma, Arnoldo (2019). A Bayesian two-way latent structure model for genomic data integration reveals few pan-genomic cluster subtypes in a breast cancer cohort. Bioinformatics. ISSN 1367-4803. 35(23), s. 4886–4897. doi: 10.1093/bioinformatics/btz381.
  • Liu, Qinghua; Reiner, Andrew Henry; Frigessi Di Rattalma, Arnoldo & Scheel, Ida (2019). Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model. Knowledge-Based Systems. ISSN 0950-7051. s. 1–12. doi: 10.1016/j.knosys.2019.104960. Fulltekst i vitenarkiv
  • Lai, Xiaoran; Geier, Oliver; Fleischer, Thomas; Garred, Øystein; Borgen, Elin & Funke, Simon Wolfgang [Vis alle 14 forfattere av denne artikkelen] (2019). Towards personalized computer simulation of breast cancer treatment: a multi-scale pharmacokinetic and pharmacodynamic model informed by multi-type patient data. Cancer Research. ISSN 0008-5472. 79(16), s. 4293–4304. doi: 10.1158/0008-5472.CAN-18-1804. Fulltekst i vitenarkiv
  • Crispino, Marta; Arjas, Elja; Vitelli, Valeria; Barrett, Natasha & Frigessi Di Rattalma, Arnoldo (2019). A Bayesian Mallows approach to nontransitive pair comparison data: How human are sounds? Annals of Applied Statistics. ISSN 1932-6157. 13(1), s. 492–519. doi: 10.1214/18-AOAS1203. Fulltekst i vitenarkiv
  • Engebretsen, Solveig; Engø-Monsen, Kenth; Frigessi Di Rattalma, Arnoldo & De Blasio, Birgitte Freiesleben (2019). A theoretical single-parameter model for urbanisation to study infectious disease spread and interventions. PLoS Computational Biology. ISSN 1553-734X. 15(3). doi: 10.1371/journal.pcbi.1006879. Fulltekst i vitenarkiv
  • Liu, Qinghua; Crispino, Marta; Scheel, Ida; Vitelli, Valeria & Frigessi Di Rattalma, Arnoldo (2019). Model-based learning from preference data. Annual Review of Statistics and Its Application. ISSN 2326-8298. 6, s. 329–354. doi: 10.1146/annurev-statistics-031017-100213.
  • Sørensen, Øystein; Hellton, Kristoffer Herland; Frigessi Di Rattalma, Arnoldo & Thoresen, Magne (2018). Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error. Journal of Computational And Graphical Statistics (JCGS). ISSN 1061-8600. 27(4), s. 739–749. doi: 10.1080/10618600.2018.1425626. Fulltekst i vitenarkiv
  • Rohrbeck, Christian; Costain, Deborah A & Frigessi Di Rattalma, Arnoldo (2018). Bayesian spatial monotonic multiple regression. Biometrika. ISSN 0006-3444. 105(3), s. 691–707. doi: 10.1093/biomet/asy019.
  • LeBlanc, Marissa; Zuber, Verena; Thompson, Wesley Kurt; Andreassen, Ole Andreas; Frigessi Di Rattalma, Arnoldo & Kulle, Bettina (2018). A correction for sample overlap in genome-wide association studies in a polygenic pleiotropy-informed framework. BMC Genomics. ISSN 1471-2164. 19:494, s. 1–15. doi: 10.1186/s12864-018-4859-7. Fulltekst i vitenarkiv
  • Erango, Markos Abiso; Frigessi Di Rattalma, Arnoldo & Rosseland, Leiv Arne (2018). A three minutes supine position test reveals higher risk of spinal anesthesia induced hypotension during cesarean delivery. An observational study. [version 1; peer review: 3 approved]. F1000 Research. ISSN 2046-1402. 7(1028), s. 1–20. doi: 10.12688/F1000RESEARCH.15142.1. Fulltekst i vitenarkiv
  • Rohrbeck, Christian; Eastoe, Emma F.; Frigessi Di Rattalma, Arnoldo & Tawn, Jonathan A. (2018). Extreme value modelling of water-related insurance claims. Annals of Applied Statistics. ISSN 1932-6157. 12(1), s. 246–282. doi: 10.1214/17-AOAS1081. Fulltekst i vitenarkiv
  • Vitelli, Valeria; Sørensen, Øystein; Crispino, Marta; Frigessi Di Rattalma, Arnoldo & Arjas, Elja (2018). Probabilistic preference learning with the Mallows rank model. Journal of machine learning research. ISSN 1532-4435. 18, s. 1–49. Fulltekst i vitenarkiv
  • Engebretsen, Solveig; Frigessi, Arnoldo; Engø-Monsen, Kenth; Furberg, Anne-Sofie; Stubhaug, Audun & De Blasio, Birgitte Freiesleben [Vis alle 7 forfattere av denne artikkelen] (2018). The peer effect on pain tolerance. Scandinavian Journal of Pain. ISSN 1877-8860. 18(3), s. 467–477. doi: 10.1515/sjpain-2018-0060. Fulltekst i vitenarkiv
  • Asfaw, Derbachew; Vitelli, Valeria; Sørensen, Øystein; Arjas, Elja & Frigessi, Arnoldo (2017). Time-varying rankings with the Bayesian Mallows model. Stat. ISSN 2049-1573. 6(1), s. 14–30. doi: 10.1002/sta4.132. Fulltekst i vitenarkiv
  • Fleischer, Thomas; Tekpli, Xavier; Mathelier, Anthony; Wang, Shixiong; Nebdal, Daniel J.H. & Dhakal, Hari Prasad [Vis alle 16 forfattere av denne artikkelen] (2017). DNA methylation at enhancers identifies distinct breast cancer lineages. Nature Communications. ISSN 2041-1723. 8(1379). doi: 10.1038/s41467-017-00510-x. Fulltekst i vitenarkiv
  • Linder, Dennis; Frigessi, Arnoldo; Piaserico, Stefano & Keilman, Nico (2017). Simulating the life course of psoriasis patients: the interplay between therapy intervention and marital status. Journal of the European Academy of Dermatology and Venereology. ISSN 0926-9959. 32(1), s. 62–67. doi: 10.1111/jdv.14567. Fulltekst i vitenarkiv
  • Belay, Denekew Bitew; Kifle, Yehenew Getachew; Goshu, Ayele Taye; Gran, Jon Michael; Yewhalaw, Delenasaw & Duchateau, Luc [Vis alle 7 forfattere av denne artikkelen] (2017). Joint Bayesian modeling of time to malaria and mosquito abundance in Ethiopia. BMC Infectious Diseases. ISSN 1471-2334. 17(1). doi: 10.1186/s12879-017-2496-4. Fulltekst i vitenarkiv
  • Aure, Miriam Ragle; Vitelli, Valeria; Jernström, Sandra Johanna; Kumar, Surendra; Krohn, Marit & Due, Eldri Undlien [Vis alle 34 forfattere av denne artikkelen] (2017). Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome. Breast Cancer Research. ISSN 1465-5411. 19. doi: 10.1186/s13058-017-0812-y. Fulltekst i vitenarkiv
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Richardson, Sylvia & Vannucci, Marina (2016). Some themes in high-dimensional statistics. Abel Symposia. ISSN 2193-2808. 11, s. 1–13. doi: 10.1007/978-3-319-27099-9_1.
  • Crispino, Marta; Arjas, Elja; Vitelli, Valeria & Frigessi, Arnoldo (2016). Recommendation from intransitive pairwise comparisons. CEUR Workshop Proceedings. ISSN 1613-0073. 1688.
  • Solbergersen, LInn Cecilie; Ahmed, Ismail; Frigessi, Arnoldo; Glad, Ingrid Kristine & Richardson, Sylvia Therese Lamblin (2016). Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration. Abel Symposia. ISSN 2193-2808. 11, s. 37–66. doi: 10.1007/978-3-319-27099-9_3.
  • Tharmaratnam, K.; Sperrin, M.; Jaki, T.; Reppe, Sjur & Frigessi, Arnoldo (2016). Tilting the lasso by knowledge-based post-processing. BMC Bioinformatics. ISSN 1471-2105. 17(344), s. 1–9. doi: 10.1186/s12859-016-1210-7.
  • Solvang, Hiroko Kato; Frigessi, Arnoldo; Kaveh, Fatemeh; Riis, Margit; Luders, Torben & Bukholm, Ida Rashida Khan [Vis alle 8 forfattere av denne artikkelen] (2016). Gene expression analysis supports tumor threshold over 2.0 cm for T-category breast cancer. EURASIP Journal on Bioinformatics and Systems Biology. ISSN 1687-4145. 2016(6). doi: 10.1186/s13637-015-0034-5. Fulltekst i vitenarkiv
  • Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Haug, Ola; Orskaug, Elisabeth & Scheel, Ida [Vis alle 7 forfattere av denne artikkelen] (2016). Calibrating regionally downscaled precipitation over Norway through quantile-based approaches. Advances in Statistical Climatology, Meteorology and Oceanography (ASCMO). ISSN 2364-3579. 2, s. 39–47. doi: 10.5194/ascmo-2-39-2016. Fulltekst i vitenarkiv
  • Hobæk Haff, Ingrid; Aas, Kjersti; Frigessi, Arnoldo & Lacal Graziani, Virginia (2016). Structure learning in Bayesian Networks using regular vines. Computational Statistics & Data Analysis. ISSN 0167-9473. 101, s. 186–208. doi: 10.1016/j.csda.2016.03.003.
  • LeBlanc, Marissa; Zuber, Verena; Kulle, Bettina; Witoelar, Aree; Zeng, Limin & Bettella, Francesco [Vis alle 26 forfattere av denne artikkelen] (2015). Identifying Novel Gene Variants in Coronary Artery Disease and Shared Genes with Several Cardiovascular Risk Factors. Circulation Research. ISSN 0009-7330. 1, s. 83–94. doi: 10.1161/CIRCRESAHA.115.306629.
  • Frigessi, Arnoldo; Holden, Lars & Teigland, André (2015). (sfi)<sup>2</sup> statistics for innovation - The experience of the Oslo centre in industrial statistics. Applied Stochastic Models in Business and Industry. ISSN 1524-1904. 31(1), s. 82–93. doi: 10.1002/asmb.2113.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions. Journal of Geophysical Research (JGR): Atmospheres. ISSN 2169-897X. 120(7), s. 2624–2646. doi: 10.1002/2014JD022748.
  • Fairbairn, Catharine E.; Sayette, Michael; Aalen, Odd O. & Frigessi, Arnoldo (2015). Alcohol and Emotional Contagion An Examination of the Spreading of Smiles in Male and Female Drinking Groups. Clinical Psychological Science. ISSN 2167-7026. 3(5), s. 686–701. doi: 10.1177/2167702614548892.
  • Sørensen, Øystein; Frigessi, Arnoldo & Thoresen, Magne (2015). Measurement error in Lasso: Impact and likelihood bias correction. Statistica sinica. ISSN 1017-0405. 25(2), s. 809–829. doi: 10.5705/ss.2013.180. Fulltekst i vitenarkiv

Se alle arbeider i Cristin

  • Aalen, Odd O.; Frigessi, Arnoldo; Moger, Tron Anders; Scheel, Ida; Skovlund, Eva & Veierød, Marit Bragelien (2018). Statistiske metoder i medisin og helsefag. 2. utgave. Gyldendal Akademisk. ISBN 978-82-05-50764-7. 351 s.
  • Frigessi, Arnoldo; Buhlmann, A; Glad, I. K.; Langaas, M; Richardson, S & Vannicci, M (2016). Statistical analysis for high-dimensional data. The Abel Symposium 2014. Springer. ISBN 978-3-319-27097-5. 360 s.
  • Frigessi, Arnoldo; Bühlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Statistical Analysis for High-Dimensional Data. Springer. ISBN 978-3-319-27097-5. 306 s.

Se alle arbeider i Cristin

  • Andreassen, Tor Arne; Frigessi, Arnoldo & Spurkland, Anne (2022). Omikron vil neppe smitte alle. Men en eller annen variant, vil nesten alle bli smittet av. [Avis]. Aftenposten.
  • Frigessi, Arnoldo (2021). The Norwegian regional stochastic model of the Covid-19 epidemics.
  • Frigessi, Arnoldo (2021). Math&Stats modelling of breast cancer therapy .
  • Frigessi, Arnoldo (2021). Covid-19 modelling and AI.
  • Frigessi, Arnoldo (2021). Data science in emergency.
  • Frigessi, Arnoldo (2021). Models and predictions during the Covid-19 emergency in Norway.
  • Frigessi, Arnoldo (2021). Sverdrup prisen 2021.
  • Frigessi, Arnoldo (2021). Data science in an emergency.
  • Frigessi, Arnoldo (2021). Mathematical modelling of the Sars-CoV-2 pandemic in Norway.
  • Frigessi, Arnoldo (2021). Data Science for the covid-19 emergency.
  • Frigessi, Arnoldo (2021). Debatt i NRK radio P2 om utnyttelse av norske helsedata. [Radio]. NRK P2.
  • Stoltenberg, Camilla; Frigessi Di Rattalma, Arnoldo; Engebretsen, Solveig; Sandberg, Hallvard; Johansen, Per Anders & Ruhlin Gjuvsland, Elin (2021). Paneldebatt: HVA KAN VI LÆRE AV RUNDEN MED COVID: HVORDAN HÅNDTERER VI USIKKERHET OG ÅPENHET? [Internett]. Arendalsuka.
  • Stoltenberg, Camilla; Aavitsland, Preben; Rø, Gunnar Øyvind Isaksson; de Blasio, Birgitte Freiesleben; Frigessi Di Rattalma, Arnoldo & Engebretsen, Solveig (2021). Aftenposten bommer om prognoser. Igjen og igjen. . Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
  • Frigessi Di Rattalma, Arnoldo; Köhn-Luque, Alvaro; Kristensen, Vessela N.; Gørbitz, Carl Henrik & Engebråten, Olav (2020). Kan statistikk og matematikk redde like mange liv som nye medisiner? Aftenposten (morgenutg. : trykt utg.). ISSN 0804-3116.
  • Frigessi Di Rattalma, Arnoldo (2020). The Norwegian Covid-19 Model: a spatial modelling of the early phase epidemics .
  • Frigessi Di Rattalma, Arnoldo (2020). Spatial modelling of early-phase COVID-19 epidemic in Norway.
  • Frigessi Di Rattalma, Arnoldo (2020). In silico modelling of breast tumours for personalised therapy.
  • Løland, Anders & Frigessi Di Rattalma, Arnoldo (2020). Episode 3: Hvorfor skal forskning være en del av beredskapen vår? Med Arnoldo Frigessi. [Internett]. Sannsynligvis VIKTIG (podkast).
  • Løland, Anders & Frigessi Di Rattalma, Arnoldo (2020). Episode 2: Om den essensielle usikkerheten. Med Arnoldo Frigessi. [Internett]. Sannsynligvis VIKTIG (podkast).
  • Lai, Xiaoran; Kohn Luque, Alvaro; Frigessi, Arnoldo & Geier, Oliver (2017). Breast MRI as a building block for patient-specific simulations of drug effect.
  • Frigessi, Arnoldo; Buhlmann, Peter; Glad, Ingrid Kristine; Langaas, Mette; Richardson, Sylvia Therese Lamblin & Vannucci, Marina (2016). Abel Symposia: Preface. Abel Symposia. ISSN 2193-2808. 11, s. vii–x.
  • Frigessi, Arnoldo (2016). Discovery and prediction of change .
  • Frigessi, Arnoldo (2016). Big Data Big Insight.
  • Frigessi, Arnoldo (2016). Big Health data.
  • Frigessi, Arnoldo (2016). The power of statistical science: from data to discovery and value .
  • Frigessi, Arnoldo; Vitelli, Valeria; Crispino, Marta & Arjas, Elja (2016). Recommendations from non-transitive pairwise comparisons.
  • Frigessi, Arnoldo (2016). A high-dimensional tribute to Juni Palmgren.
  • Frigessi, Arnoldo (2016). Value from sharing data .
  • Frigessi, Arnoldo (2016). From big data to big insight .
  • Frigessi, Arnoldo (2016). Bayesian Inference for Ranks .
  • Frigessi, Arnoldo (2016). My data science.
  • Frigessi, Arnoldo (2016). Big health data: fantastiske muligheter og utfordringer .
  • Frigessi, Arnoldo (2016). The value of uncertainty .
  • Haug, Ola; Bolin, David; Frigessi, Arnoldo; Guttorp, Peter; Orskaug, Elisabeth & Scheel, Ida [Vis alle 7 forfattere av denne artikkelen] (2016). Modelling and predicting residential water damage insurance claims via a calibrated dynamical downscaling.
  • Frigessi, Arnoldo & Løland, Anders (2016). Forskning på statistiske modeller kan gi store gevinster. [Fagblad]. Forskningsnytt 2015.
  • Frigessi, Arnoldo (2016). BigInsight and Skatteetatten.
  • Frigessi, Arnoldo (2016). The data rich society of the future.
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). Hvor godt klarer regionale klimamodeller å gjenskape den romlige avhengigheten i nedbør?
  • Hobæk Haff, Ingrid; Frigessi, Arnoldo & Maraun, Douglas (2015). How well do regional climate models simulate the spatial dependence of precipitation? An application of pair-copula constructions.
  • Frigessi, Arnoldo (2015). SFI Big Insight - Norsk Regnesentral/UiO.
  • Frigessi, Arnoldo (2015). The future of biostatistics and the Oslo Center for Biostatistics and Epidemiology.
  • Frigessi, Arnoldo (2015). kurs STK1110, om big data og fremtiden i statistikk.
  • Frigessi, Arnoldo (2015). Stabmøte "What is happening in biostatistics".
  • Frigessi, Arnoldo (2015). Ledermøte: presentasjon av BigInsight.
  • Frigessi, Arnoldo (2015). Meta analysis with Mallows rank model.
  • Frigessi, Arnoldo (2015). Pan Cancer models.
  • Frigessi, Arnoldo (2015). Apollon lansering.
  • Frigessi, Arnoldo (2015). Preference learning.
  • Frigessi, Arnoldo (2015). Bayesian Mallows model for preference learning .
  • Frigessi, Arnoldo (2015). Her er likheten mellom kreft og skattejuks. [Tidsskrift]. Apollon.
  • Frigessi, Arnoldo (2015). Innovasjon vs. personvern. [Avis]. ComputerWorld.
  • Frigessi, Arnoldo (2015). De svakes ridder. [Tidsskrift]. Apollon.
  • Haug, Ola; Frigessi, Arnoldo; Scheel, Ida & Guttorp, Peter (2015). Modelling and predicting residential water damage insurance claims in a climate change perspective.
  • Vitelli, Valeria; Sørensen, Øystein; Frigessi, Arnoldo & Arjas, Elja (2018). Probabilistic preference learning with the Mallows rank model. Journal of Machine Learning Research.

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Publisert 13. apr. 2011 10:36 - Sist endret 16. jan. 2015 12:23